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Integrated Tracking Control of an Underwater Bionic Robot Based on Multimodal Motions 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 卷号: 54, 期号: 3, 页码: 1599-1610
作者:  Wang, Jian;  Wu, Zhengxing;  Zhang, Yang;  Kong, Shihan;  Tan, Min;  Yu, Junzhi
Adobe PDF(5090Kb)  |  收藏  |  浏览/下载：65/10  |  提交时间：2024/03/27
Disturbance observer (DOB)  fuzzy system  model predictive control (MPC)  tracking control  underwater bionic robot  
Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework 期刊论文
IEEE ROBOTICS & AUTOMATION MAGAZINE, 2023, 卷号: 31, 期号: 1, 页码: 18-28
作者:  Wang, Kaihui;  Zou, Wei;  Ma, Ruichen;  Lv, Jiaqi;  Su, Hu;  Wang, Yu;  Ma, Hongxuan
Adobe PDF(2970Kb)  |  收藏  |  浏览/下载：57/5  |  提交时间：2024/02/22
Vehicle dynamics  Robots  Propulsion  Predictive models  Biological system modeling  Robustness  Disturbance observers  
Model Predictive Trajectory Tracking Control of an Underactuated Bionic Underwater Vehicle 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 12
作者:  Wang, Kaihui;  Zou, Wei;  Ma, Ruichen;  Wang, Yu;  Su, Hu
Adobe PDF(4065Kb)  |  收藏  |  浏览/下载：108/7  |  提交时间：2023/11/16
Bionic underwater vehicle (BUV)  model predictive control (MPC)  trajectory tracking  undulatory propulsion  
Fixed-Time Control With Uncertainty and Measurement Noise Suppression for Hypersonic Vehicles via Augmented Sliding Mode Observers 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 2, 页码: 1192-1203
作者:  Sun, Jinlin;  Pu, Zhiqiang;  Yi, Jianqiang;  Liu, Zhen
Adobe PDF(3825Kb)  |  收藏  |  浏览/下载：230/0  |  提交时间：2020/06/02
Fixed-time control  nonsmooth backstepping  sliding mode observer (SMO)  uncertainty estimation  
Adaptive Tracking Control of Surface Vessel Using Optimized Backstepping Technique 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 9, 页码: 3420-3431
作者:  Wen, Guoxing;  Ge, Shuzhi Sam;  Chen, C. L. Philip;  Tu, Fangwen;  Wang, Shengnan
收藏  |  浏览/下载：192/0  |  提交时间：2019/12/16
Actor-critic architecture  Lyapunov stability  optimized backstepping (OB)  reinforcement learning (RL)  surface vessel